Python Class to JSON Schema Generator
Paste Python classes or dataclasses to generate JSON Schema plus realistic sample JSON.
Python code Input
JSON Schema Output
Paste Python classes to generate JSON Schema instantly.
Supports dataclasses, Pydantic BaseModel, TypedDict, and enums.
Frequently Asked Questions
Which Python structures are supported?
The converter understands regular classes, dataclasses, Pydantic BaseModel classes, and TypedDict definitions. It reads field annotations, default values, Optional/Union hints, Literal values, and Enum subclasses to build accurate JSON Schemas without uploading your code.
How does type detection work for Python?
Type hints such as list[str], dict[str, Any], Optional[int], tuple[float, float], and custom classes or enums are mapped to JSON Schema primitives, arrays, objects, or references automatically. When annotations are missing, the tool falls back to simple inference from default values while emitting warnings so you know what to adjust.
Can I use this for different Python versions and frameworks?
Yes. Modern syntax such as PEP 585 generic types, PEP 604 unions (str | None), and decorators like @dataclass(frozen=True) or @validator are supported. It also handles classic typing.Optional/typing.List hints, so code written for Python 3.7+ works out of the box.
What can I do with the generated JSON Schema and sample JSON?
You can share the schema with frontend teams, validate API payloads, generate contract tests, or feed it into schema registries. The sample JSON is synthesized from the schema and is perfect for Postman collections, API docs, or quick demos without handcrafting payloads.